PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-07-30 10:22:46.524835+00:00 (UTC)
In US/Central Time, this is 2024-07-30 05:22:46.524835-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/6f8d7e89eda2caf6d20ffe3cc936efa3a04681fe5a3cb21f6899f5ce41db902f.png
We are just generating a random time serie here.
../../_images/84ec026cab49969bd122f59daa4e1e64ba092ba500a6f6eedd63c30fade79bfb.png
../../_images/5dc33803e91fffd901b09ed8a9cd7a3a273af7f8ab71930864da872fc0434b5d.png